Department Library Dashboards as a Measure of Library Value

A department dashboard approach to measuring library value was developed after the library was charged with measuring its contributions to the academic program distinctives at a liberal arts college. This presentation will focus on using data that libraries already collect to tell a story about an academic department’s library activity. Working in a dashboard culture, how the dashboards will be used to drive future conversations with departments and effects on library decision-making will be discussed

Electronic Resource Usage Data: An Introduction and Data Dashboard Template

This article provides an overview of COUNTER5 metrics and reports, describes the Usage Data Dashboard template, and provides several takeaways for designing data collection workflows. Drawing from research data management (RDM) principles surrounding documentation, the Usage Data Dashboard template can support library workers and improve processes of collecting and interpreting electronic usage data

Spatial Analytics Dashboards: Assisting Researchers to Select the Appropriate Tool

This review provides an overview of the following popular spatial analytics dashboard software: Tableau, PowerBI, ArcGIS Insights, ArcGIS Operations Dashboard and covers optimal use cases for each. Also included is a curriculum for an introductory one-shot instructional session on data literacy and research visualization using Operations Dashboard for ArcGIS in an academic library context

Develop an Interactive Python Dashboard for Analyzing EZproxy Logs

This paper describes the development of an interactive dashboard in Python with EZproxy log data. Hopefully, this dashboard will help improve the evidence-based decision-making process in electronic resources management and explore the impact of library use

Real-time Insight : Developing a Internal Library Data Dashboard

Library systems are becoming increasingly open, providing API’s that can deliver data in real-time. ETSU Library staff wanted a way to collect metrics from various systems and present it in one centralized dashboard. This presentation will cover our experiences with the project, including successes, challenges, and future goals

Providing information about reading lists via a dashboard interface

As developers of the open source LORLS Resource/Reading List Management System we have developed a dashboard to better support academic staffs’ understanding of how their students use reading lists. This dashboard provides both graphical and tabulated information drawn from LORLS and the Aleph Integrated Library System. Development of the dashboard required changes to back-end functionality of LORLS such as logging views of reading lists and caching of loan data. Changes to the front end included the use of HTML5 canvas elements to generate pie charts and line graphs. Recently launched to academic staff at Loughborough University, the dashboard has already garnered much praise. It is hoped that further development of the dashboard will provide even more support for academics in the compilation of their reading lists

The Data Framework: A Collaborative Tool for Assessment at the UNLV Libraries

Keeping track of the data that academic libraries capture is a massive task. The University of Nevada - Las Vegas (UNLV) University Libraries developed a data framework as a tracking tool for data points. This framework is both a data dictionary and a manual that records data-gathering procedures. This ensures that the data is continually gathered and reported in the same way, and also ensures that institutional memory of those procedures is preserved, regardless of staff turnover. Additionally, the revised Data Framework, and the revision process, transformed staff attitudes about data reporting and strengthened the libraries\u27 culture of assessment

Enhancing Readability, Accessibility, and Shareability of Robot Framework Test Results

A Web Report Improvements feature was developed to enhance clarity and accessibility of Robot Framework (RF) test results. This feature was built using the React library in the frontend while Node.js was utilized to build RESTful APIs in the backend. Recharts, a widely used library in React was used for constructing charts. The dashboard page was transformed into a PDF document through the utilization of PDFKit, a Node.js library designed for generating PDF documents. Central to this implementation is a sophisticated dashboard page for presenting the Robot Framework (RF) test results with enhanced clarity and accessibility. Additionally, this feature also includes Portable Document Format (PDF) export functionality, which will transform test result details into a PDF document, and a dropdown menu through which users can navigate between different test results effortlessly. The dashboard provides intuitive user experience with functionalities including result tabulation, an image display for test artifacts, graphical representations of complex data for users in a simpler manner, enabling comparison between different data points, and a dedicated segment for user equipment (UE) analysis results. The Web Report Improvement feature provides user-friendly design and enhances user experience by providing a compact view, clear data visualization and streamlined navigation for test case results. Furthermore, the PDF export functionality elevates the shareability of the test case results, enhancing collaboration between the stakeholders

Fostering medical students' lifelong learning skills with a dashboard, coaching and learning planning.

IntroductionTo develop lifelong learning skills, students need feedback, access to performance data, and coaching. A new medical curriculum incorporated infrastructural supports based on self-regulated learning theory and the Master Adaptive Learner framework to engage students in reflection and learning planning. This study examines students' experience with a performance dashboard, longitudinal coaching, and structured time for goal-setting.MethodsFocus groups with first-year medical students explored performance dashboard usage, coaching and learning planning. We analyzed findings using thematic analysis. Results informed development of a 29-item survey rated strongly disagree (1) to strongly agree (5) to investigate experience with the dashboard, coaching and learning goals program. The survey was distributed to one first-year medical student class. We performed descriptive statistics and factor analysis.ResultsIn three focus groups with 21 participants, students endorsed using the dashboard to access performance information but had trouble interpreting and integrating information. They valued coaches as sources of advice but varied in their perceptions of the value of discussing learning planning. Of 152 students, 114 (75%) completed the survey. Exploratory factor analysis yielded 5 factors explaining 57% of the variance: learning goals development (α = 0.88; mean 3.25 (standard deviation 0.91)), dashboard usage (α = 0.82; 3.36 (0.64)), coaching (α = 0.71; 3.72 (0.64)), employment of learning strategies (α = 0.81; 3.67 (0.79)), and reflection (α = 0.63; 3.68 (0.64)).DiscussionThe student performance dashboard provides efficient feedback access, yet students' use of this information to guide learning is variable. These results can inform other programs seeking to foster lifelong learning skills

A software service supporting software quality forecasting

Software repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects. The exploitation of such data with techniques like forecasting is becoming an increasing need in several domains to support decision-making processes. However, although there exist several statistical tools and languages supporting forecasting, there is a lack of friendly approaches that enable practitioners to exploit the advantages of creating and using such models in their dashboard tools. Therefore, we have developed a modular and flexible forecasting service allowing the interconnection with different kinds of databases/data repositories for creating and exploiting forecasting models based on methods like ARIMA or ETS. The service is open source software, has been developed in Java and R and exposes its functionalities through a REST API. Architecture details are provided, along with functionalities’ description and an example of its use for software quality forecasting.Peer ReviewedPostprint (author's final draft